{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating a basic ingest of a NetCDF file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Sometimes a file might be in the netCDF file format but not conform to cfradial standards and can't\n",
    "### be read with Py-ART. One way of working around this is to create a basic ingest, here is a hypothetically\n",
    "### example, this file can be read with Py-ART, but lets act like it doesn't! :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "## You are using the Python ARM Radar Toolkit (Py-ART), an open source\n",
      "## library for working with weather radar data. Py-ART is partly\n",
      "## supported by the U.S. Department of Energy as part of the Atmospheric\n",
      "## Radiation Measurement (ARM) Climate Research Facility, an Office of\n",
      "## Science user facility.\n",
      "##\n",
      "## If you use this software to prepare a publication, please cite:\n",
      "##\n",
      "##     JJ Helmus and SM Collis, JORS 2016, doi: 10.5334/jors.119\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import netCDF4\n",
    "import pyart\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# We will read the nc data with netCDF4.Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = netCDF4.Dataset(\"test_radar.nc\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lets get an idea of the shapes for rays and gates and the keys in this dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['time', 'range', 'azimuth', 'elevation', 'corrected_reflectivity_horizontal', 'reflectivity_horizontal', 'recalculated_diff_phase', 'specific_attenuation', 'unf_dp_phase_shift', 'mean_doppler_velocity', 'diff_phase', 'rain_rate_A', 'norm_coherent_power', 'dp_phase_shift', 'diff_reflectivity', 'proc_dp_phase_shift', 'copol_coeff', 'sweep_number', 'fixed_angle', 'sweep_start_ray_index', 'sweep_end_ray_index', 'sweep_mode', 'latitude', 'longitude', 'altitude', 'time_coverage_start', 'time_coverage_end', 'time_reference', 'volume_number', 'platform_type', 'instrument_type', 'primary_axis'])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.variables.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(400,)"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['azimuth'][:].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(667,)"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['range'][:].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Make a empty radar with the dimensions of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar = pyart.testing.make_empty_ppi_radar(667, 400, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Start filling the radar attributes with variables in the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.time['data'] = np.array(data['time'][:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "masked_array(data=-97.59416667,\n",
       "             mask=False,\n",
       "       fill_value=1e+20)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['longitude'][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.latitude['data'] = np.array([data['latitude'][:]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.longitude['data'] = np.array([data['longitude'][:]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-97.59416667])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "radar.longitude['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.range['data'] = np.array(data['range'][:])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Sometimes the dataset might just contain gate spacing, but if the gate spacing is uniform,\n",
    "# there is a way around it, we see a gate spacing of 60 above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.range['data'] = np.linspace(0.0, 60.0*(667-1), 667)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# As you can see below we obtained the same range data. This isn't needed\n",
    "# if the range data is present, but using gate spacing and ngates is another way around it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([    0.,    60.,   120.,   180.,   240.,   300.,   360.,   420.,\n",
       "         480.,   540.,   600.,   660.,   720.,   780.,   840.,   900.,\n",
       "         960.,  1020.,  1080.,  1140.,  1200.,  1260.,  1320.,  1380.,\n",
       "        1440.,  1500.,  1560.,  1620.,  1680.,  1740.,  1800.,  1860.,\n",
       "        1920.,  1980.,  2040.,  2100.,  2160.,  2220.,  2280.,  2340.,\n",
       "        2400.,  2460.,  2520.,  2580.,  2640.,  2700.,  2760.,  2820.,\n",
       "        2880.,  2940.,  3000.,  3060.,  3120.,  3180.,  3240.,  3300.,\n",
       "        3360.,  3420.,  3480.,  3540.,  3600.,  3660.,  3720.,  3780.,\n",
       "        3840.,  3900.,  3960.,  4020.,  4080.,  4140.,  4200.,  4260.,\n",
       "        4320.,  4380.,  4440.,  4500.,  4560.,  4620.,  4680.,  4740.,\n",
       "        4800.,  4860.,  4920.,  4980.,  5040.,  5100.,  5160.,  5220.,\n",
       "        5280.,  5340.,  5400.,  5460.,  5520.,  5580.,  5640.,  5700.,\n",
       "        5760.,  5820.,  5880.,  5940.,  6000.,  6060.,  6120.,  6180.,\n",
       "        6240.,  6300.,  6360.,  6420.,  6480.,  6540.,  6600.,  6660.,\n",
       "        6720.,  6780.,  6840.,  6900.,  6960.,  7020.,  7080.,  7140.,\n",
       "        7200.,  7260.,  7320.,  7380.,  7440.,  7500.,  7560.,  7620.,\n",
       "        7680.,  7740.,  7800.,  7860.,  7920.,  7980.,  8040.,  8100.,\n",
       "        8160.,  8220.,  8280.,  8340.,  8400.,  8460.,  8520.,  8580.,\n",
       "        8640.,  8700.,  8760.,  8820.,  8880.,  8940.,  9000.,  9060.,\n",
       "        9120.,  9180.,  9240.,  9300.,  9360.,  9420.,  9480.,  9540.,\n",
       "        9600.,  9660.,  9720.,  9780.,  9840.,  9900.,  9960., 10020.,\n",
       "       10080., 10140., 10200., 10260., 10320., 10380., 10440., 10500.,\n",
       "       10560., 10620., 10680., 10740., 10800., 10860., 10920., 10980.,\n",
       "       11040., 11100., 11160., 11220., 11280., 11340., 11400., 11460.,\n",
       "       11520., 11580., 11640., 11700., 11760., 11820., 11880., 11940.,\n",
       "       12000., 12060., 12120., 12180., 12240., 12300., 12360., 12420.,\n",
       "       12480., 12540., 12600., 12660., 12720., 12780., 12840., 12900.,\n",
       "       12960., 13020., 13080., 13140., 13200., 13260., 13320., 13380.,\n",
       "       13440., 13500., 13560., 13620., 13680., 13740., 13800., 13860.,\n",
       "       13920., 13980., 14040., 14100., 14160., 14220., 14280., 14340.,\n",
       "       14400., 14460., 14520., 14580., 14640., 14700., 14760., 14820.,\n",
       "       14880., 14940., 15000., 15060., 15120., 15180., 15240., 15300.,\n",
       "       15360., 15420., 15480., 15540., 15600., 15660., 15720., 15780.,\n",
       "       15840., 15900., 15960., 16020., 16080., 16140., 16200., 16260.,\n",
       "       16320., 16380., 16440., 16500., 16560., 16620., 16680., 16740.,\n",
       "       16800., 16860., 16920., 16980., 17040., 17100., 17160., 17220.,\n",
       "       17280., 17340., 17400., 17460., 17520., 17580., 17640., 17700.,\n",
       "       17760., 17820., 17880., 17940., 18000., 18060., 18120., 18180.,\n",
       "       18240., 18300., 18360., 18420., 18480., 18540., 18600., 18660.,\n",
       "       18720., 18780., 18840., 18900., 18960., 19020., 19080., 19140.,\n",
       "       19200., 19260., 19320., 19380., 19440., 19500., 19560., 19620.,\n",
       "       19680., 19740., 19800., 19860., 19920., 19980., 20040., 20100.,\n",
       "       20160., 20220., 20280., 20340., 20400., 20460., 20520., 20580.,\n",
       "       20640., 20700., 20760., 20820., 20880., 20940., 21000., 21060.,\n",
       "       21120., 21180., 21240., 21300., 21360., 21420., 21480., 21540.,\n",
       "       21600., 21660., 21720., 21780., 21840., 21900., 21960., 22020.,\n",
       "       22080., 22140., 22200., 22260., 22320., 22380., 22440., 22500.,\n",
       "       22560., 22620., 22680., 22740., 22800., 22860., 22920., 22980.,\n",
       "       23040., 23100., 23160., 23220., 23280., 23340., 23400., 23460.,\n",
       "       23520., 23580., 23640., 23700., 23760., 23820., 23880., 23940.,\n",
       "       24000., 24060., 24120., 24180., 24240., 24300., 24360., 24420.,\n",
       "       24480., 24540., 24600., 24660., 24720., 24780., 24840., 24900.,\n",
       "       24960., 25020., 25080., 25140., 25200., 25260., 25320., 25380.,\n",
       "       25440., 25500., 25560., 25620., 25680., 25740., 25800., 25860.,\n",
       "       25920., 25980., 26040., 26100., 26160., 26220., 26280., 26340.,\n",
       "       26400., 26460., 26520., 26580., 26640., 26700., 26760., 26820.,\n",
       "       26880., 26940., 27000., 27060., 27120., 27180., 27240., 27300.,\n",
       "       27360., 27420., 27480., 27540., 27600., 27660., 27720., 27780.,\n",
       "       27840., 27900., 27960., 28020., 28080., 28140., 28200., 28260.,\n",
       "       28320., 28380., 28440., 28500., 28560., 28620., 28680., 28740.,\n",
       "       28800., 28860., 28920., 28980., 29040., 29100., 29160., 29220.,\n",
       "       29280., 29340., 29400., 29460., 29520., 29580., 29640., 29700.,\n",
       "       29760., 29820., 29880., 29940., 30000., 30060., 30120., 30180.,\n",
       "       30240., 30300., 30360., 30420., 30480., 30540., 30600., 30660.,\n",
       "       30720., 30780., 30840., 30900., 30960., 31020., 31080., 31140.,\n",
       "       31200., 31260., 31320., 31380., 31440., 31500., 31560., 31620.,\n",
       "       31680., 31740., 31800., 31860., 31920., 31980., 32040., 32100.,\n",
       "       32160., 32220., 32280., 32340., 32400., 32460., 32520., 32580.,\n",
       "       32640., 32700., 32760., 32820., 32880., 32940., 33000., 33060.,\n",
       "       33120., 33180., 33240., 33300., 33360., 33420., 33480., 33540.,\n",
       "       33600., 33660., 33720., 33780., 33840., 33900., 33960., 34020.,\n",
       "       34080., 34140., 34200., 34260., 34320., 34380., 34440., 34500.,\n",
       "       34560., 34620., 34680., 34740., 34800., 34860., 34920., 34980.,\n",
       "       35040., 35100., 35160., 35220., 35280., 35340., 35400., 35460.,\n",
       "       35520., 35580., 35640., 35700., 35760., 35820., 35880., 35940.,\n",
       "       36000., 36060., 36120., 36180., 36240., 36300., 36360., 36420.,\n",
       "       36480., 36540., 36600., 36660., 36720., 36780., 36840., 36900.,\n",
       "       36960., 37020., 37080., 37140., 37200., 37260., 37320., 37380.,\n",
       "       37440., 37500., 37560., 37620., 37680., 37740., 37800., 37860.,\n",
       "       37920., 37980., 38040., 38100., 38160., 38220., 38280., 38340.,\n",
       "       38400., 38460., 38520., 38580., 38640., 38700., 38760., 38820.,\n",
       "       38880., 38940., 39000., 39060., 39120., 39180., 39240., 39300.,\n",
       "       39360., 39420., 39480., 39540., 39600., 39660., 39720., 39780.,\n",
       "       39840., 39900., 39960.])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "radar.range['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.fixed_angle['data'] = np.array(data['fixed_angle'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.sweep_number['data'] = np.array(data['sweep_number'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.sweep_start_ray_index['data'] = np.array(data['sweep_start_ray_index'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.sweep_end_ray_index['data'] = np.array(data['sweep_end_ray_index'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.altitude['data'] = np.array(data['altitude'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.azimuth['data'] = np.array(data['azimuth'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.sweep_mode['data'] = np.array(data['sweep_mode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "masked_array(data=[3.5],\n",
       "             mask=False,\n",
       "       fill_value=1e+20)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['fixed_angle'][:]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If elevation doesn't exist, but fixed angle doesn't, you can do\n",
    "# fixed angle multiplied by nrays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.elevation['data'] = np.array([data['fixed_angle'][:]]*len(data['azimuth'][:])).squeeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# With elevation and azimuth in the radar object, lets recalculate\n",
    "# gate latitude, longitude and altitude,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.init_gate_altitude()\n",
    "radar.init_gate_longitude_latitude()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-97.59416667, -97.59416776, -97.59416886, ..., -97.59489769,\n",
       "        -97.59489879, -97.5948999 ],\n",
       "       [-97.59416667, -97.59415662, -97.59414657, ..., -97.5874659 ,\n",
       "        -97.58745576, -97.58744563],\n",
       "       [-97.59416667, -97.59414621, -97.59412575, ..., -97.5805231 ,\n",
       "        -97.58050246, -97.58048182],\n",
       "       ...,\n",
       "       [-97.59416667, -97.59419881, -97.59423095, ..., -97.61560159,\n",
       "        -97.61563401, -97.61566644],\n",
       "       [-97.59416667, -97.59418877, -97.59421087, ..., -97.6089062 ,\n",
       "        -97.6089285 , -97.60895079],\n",
       "       [-97.59416667, -97.59417836, -97.59419005, ..., -97.60196382,\n",
       "        -97.60197561, -97.60198741]])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "radar.gate_longitude['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Let's work on the field data, we will just do reflectivity for now, but any of the\n",
    "# other fields can be done the same way and added as a key pair in the fields dict."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pyart.config import get_metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "ref_dict = get_metadata('reflecitivity_horizontal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "ref_dict['data'] = np.array(data['reflectivity_horizontal'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ -6.21875  ,   1.34375  ,  -8.0078125, ...,  -1.2109375,\n",
       "          1.1171875,   1.59375  ],\n",
       "       [ -6.2109375,   1.421875 ,  -8.5625   , ...,   2.34375  ,\n",
       "         -0.7109375,   0.609375 ],\n",
       "       [ -6.2109375,  -0.5078125,  -9.3828125, ...,  -0.6875   ,\n",
       "         -2.328125 ,  -0.3203125],\n",
       "       ...,\n",
       "       [ -6.21875  ,   2.       ,  -9.21875  , ...,   0.859375 ,\n",
       "         -6.6484375,  -1.328125 ],\n",
       "       [ -6.2109375,   1.8515625, -10.25     , ...,   0.9375   ,\n",
       "         -1.75     ,  -0.0234375],\n",
       "       [ -6.21875  ,   1.6328125,  -8.2890625, ...,  -2.546875 ,\n",
       "         -1.578125 ,   0.6796875]], dtype=float32)"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ref_dict['data']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "radar.fields = {'reflectivity_horizontal': ref_dict}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Now what does that data look like plotted with Py-ART, also confirm if it works."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "display = pyart.graph.RadarMapDisplay(radar)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "display.plot_ppi('reflectivity_horizontal')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
